INKA, an integrative data analysis pipeline for phosphoproteomic inference of active kinases

Identifying hyperactive kinases in cancer is crucial for individualized treatment with specific inhibitors. Kinase activity can be discerned from global protein phosphorylation profiles obtained with mass spectrometry‐based phosphoproteomics. A major challenge is to relate such profiles to specific...

詳細記述

保存先:
書誌詳細
出版年:Mol Syst Biol
主要な著者: Beekhof, Robin, van Alphen, Carolien, Henneman, Alex A, Knol, Jaco C, Pham, Thang V, Rolfs, Frank, Labots, Mariette, Henneberry, Evan, Le Large, Tessa YS, de Haas, Richard R, Piersma, Sander R, Vurchio, Valentina, Bertotti, Andrea, Trusolino, Livio, Verheul, Henk MW, Jimenez, Connie R
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2019
主題:
Methods
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6461034/
https://ncbi.nlm.nih.gov/pubmed/30979792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15252/msb.20188250
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